Dr Lalit Garg

Dr Lalit Garg

Dr Lalit Garg

 B.E.(Bark.),P.G.D.I.T.(IIITM),Ph.D.(Ulster)

Senior Lecturer

Room 23
Level 1 Block A
ICT Building
University of Malta
Msida
  +356 2340 2112
Lalit Garg is an Information Technology innovator, academician, learner, teacher, developer, keynote speaker, Consultant, and researcher with a demonstrated history of working in the higher education industry and an excellent research publication record. He is skilled in solving complex problems using machine learning, and data analytics, especially from medicine and healthcare domain. Presently he is a Senior Lecturer in Computer Information Systems at the University of Malta, Msida, Malta. He is also an honorary lecturer at the University of Liverpool, UK. He has also worked as a researcher at the Nanyang Technological University, Singapore and the University of Ulster, UK. He has supervised more than 180 Masters’ dissertations and guiding 4 PhD thesis and shaping the future of many other students. He has published over 90 technical papers in refereed high impact journals, conferences and books and has more than 590 citation count to my publications, and some of his articles awarded best paper awards. He has delivered more than 20 keynote speeches in different countries, organised/chaired/co-chaired 16 international conferences and contributed as a technical committee member or a reviewer of several high impact journals and reputed conferences. He is awarded research studentship in Healthcare Modelling to carry out his PhD research studies in the faculty of computing and engineering at the University of Ulster, UK and his PhD research was nominated for the Operational Research Society Doctoral Prize "Most Distinguished Body of Research leading to the Award of a Doctorate in the field of OR". He completed his Post Graduate in Information Technology from ABV-IIITM, Gwalior, India and his first degree in Electronics and Communication Engineering from Barkatullah University, Bhopal, India. He has also consulted numerous public and private organisations for their information system implementations.
  • Modelling & simulation, Information systems, Operational research and forecasting
  • Health & social care modelling and Missing data analysis
  • Biomedical computing, Neuroimaging, Metabolomics and personalised medicine
  • Knowledge discovery and data mining
  • E-learning, human-computer interaction, cloud computing, and pervasive computing
  • Blockchain and its applications in Healthcare

CHAKRABORTY, C., BANERJEE, A., KOLEKAR, M.H., GARG, L. and CHAKRABORTY, B., eds, 2020. Internet of Things for Healthcare Technologies. Studies in Big Data 73 edn. Springer.

CHUKWU, E. and GARG, L., 2020. A systematic review of blockchain in healthcare: frameworks, prototypes, and implementations. IEEE Access, 8, pp. 21196-21214.

GARG, L., RAMESH, K., GARG, G., PORTELLI, A. and JAMAL, A., 2020. Kitchen Genie: An Intelligent Internet of Things System for Household Inventory Management. Proceedings of ICETIT 2019. Springer, pp. 3-20.

MANGION, R.S., GARG, L., GARG, G. and FALZON, O., 2020. Emotional Testing on Facebook's User Experience. IEEE Access, .

SAMPATHKUMAR, A., MURUGAN, S., ELNGAR, A.A., GARG, L., KANMANI, R. and MALAR, A.C.J., 2020. A Novel Scheme for an IoT-Based Weather Monitoring System Using a Wireless Sensor Network. Integration of WSN and IoT for Smart Cities. Springer, pp. 181-191.

SISODIA, D.S., PACHORI, R.B. and GARG, L., eds, 2020. Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering. IGI Global.

TOMASELLI, G., GARG, L., GUPTA, V., XUEREB, P.A. and BUTTIGIEG, S.C., 2020. Corporate Social Responsibility Application in the Healthcare Sector: A Bibliometric Analysis and Synthesis. International Journal of Information Systems and Social Change (IJISSC), 11(1), pp. 11-23.

TOMASELLI, G., GARG, L., GUPTA, V., XUEREB, P.A., BUTTIGIEG, S.C. and VASSALLO, P., 2020. Communicating Corporate Social Responsibility in Healthcare Through Digital and Traditional Tools: A Two-Country Analysis. Novel Theories and Applications of Global Information Resource Management. IGI Global, pp. 184-208.

AGRAWAL, A., GARG, L., AUDU, E.E., PACHORI, R.B. and DAUWELS, J.H., 2019. Early Detection of Epileptic Seizures Based on Scalp EEG Signals. Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques, , pp. 43.

COLE, T., BHARDWAJ, A.K., GARG, L. and SHRIVASTAVA, D.P., 2019. Investigation Into Cloud Computing Adoption Within the Hedge Fund Industry. Journal of Cases on Information Technology (JCIT), 21(3), pp. 1-25.

JAMAL, A., 2019. Kitchen Genie: An Intelligent Internet of Things System for Household Inventory Management. Proceedings of ICETIT 2019: Emerging Trends in Information Technology, 605, pp. 3.

MCCLEAN, S.I., STANFORD, D.A., GARG, L. and KHAN, N., 2019. Using Phase-type Models to Monitor and Predict Process Target Compliance.

NJENGA, K., GARG, L., BHARDWAJ, A.K., PRAKASH, V. and BAWA, S., 2019. The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward. Telematics and Informatics, 38, pp. 225-246.

VASSALLO, K., GARG, L., PRAKASH, V. and RAMESH, K., 2019. Contemporary Technologies and Methods for Cross-Platform Application Development. Journal of Computational and Theoretical Nanoscience, 16(9), pp. 3854-3859.

AYENI, F., OMOGBADEGUN, Z., OMOREGBE, N., MISRA, S. and GARG, L., 2018. Overcoming Barriers to Healthcare Access and Delivery. EAI Endorsed Transactions on Pervasive Health and Technology, 4(15),.

BONELLO, J., GARG, L., GARG, G. and AUDU, E.E., 2018. Effective Data Acquisition for Machine Learning Algorithm in EEG Signal Processing. Soft Computing: Theories and Applications. Springer, pp. 233-244.

ROUMIEH, A., GARG, L., GUPTA, V. and SINGH, G., 2018. E-Marketing Strategies for Islamic Banking: A Case Based Study. Journal of Global Information Management (JGIM), 26(4), pp. 67-91.

TOMASELLI, G., GARG, L., GUPTA, V., XUEREB, P.A. and BUTTIGIEG, S.C., 2018. Corporate Social Responsibility Communication Research: State of the Art and Recent Advances. Advances in Data Communications and Networking for Digital Business Transformation. IGI Global, pp. 272-305.

TOMASELLI, G., GARG, L., GUPTA, V., XUEREB, P.A., BUTTIGIEG, S.C. and VASSALLO, P., 2018. Healthcare Systems and Corporate Social Responsibility Communication: A Comparative Analysis Between Malta and India. Journal of Global Information Management (JGIM), 26(4), pp. 52-66.

YFANTIS, V., NTALIANIS, K., XUEREB, P.A. and GARG, L., 2018. Motivating the Citizens to Transact with the Government Through a Gamified Experience. International Journal of Economics and Statistics, 6, pp. 81-86.

ELISHA, A.E., GARG, L., FALZON, O. and DI GIOVANNI, G., 2017. EEG feature extraction using common spatial pattern with spectral graph decomposition, 2017 International Conference on Computing Networking and Informatics (ICCNI) 2017, IEEE, pp. 1-8.

GAFA, M., GARG, L., MASALA, G. and MCCLEAN, S.I., 2017. Applications of phase type survival trees in HIV disease progression modelling, 2017 17th International Conference on Computational Science and Its Applications (ICCSA) 2017, IEEE, pp. 1-8.

NAMACHIVAYAM, K., MOHANKUMAR, K., GARG, L., TORRES, B.A. and MAHESHWARI, A., 2017. Neonatal mice with necrotizing enterocolitis-like injury develop thrombocytopenia despite increased megakaryopoiesis. Pediatric research, 81(5), pp. 817-824.

ORENDA, M.P., GARG, L. and GARG, G., 2017. Exploring the Feasibility to Authenticate Users of Web and Cloud Services Using a Brain-Computer Interface (BCI), International Conference on Image Analysis and Processing 2017, Springer, pp. 353-363.

BUGEJA, S., GARG, L. and AUDU, E.E., 2016. A novel method of EEG data acquisition, feature extraction and feature space creation for early detection of epileptic seizures, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016, IEEE, pp. 837-840.

CHUKWU, E., GARG, L. and EZE, G., 2016. Mobile health insurance system and associated costs: a cross-sectional survey of primary health centers in Abuja, Nigeria. JMIR mHealth and uHealth, 4(2), pp. e37.

ELISHA, A.E. and GARG, L., 2016. Networked control system for electrohydraulic flow control positioner using Neural Controller and Collaborative Network.

GARG, R., BRENNAN, L., PRICE, R.K., WALLACE, J.M., STRAIN, J., GIBNEY, M.J., SHEWRY, P.R., WARD, J.L., GARG, L. and WELCH, R.W., 2016. Using NMR-Based Metabolomics to Evaluate Postprandial Urinary Responses Following Consumption of Minimally Processed Wheat Bran or Wheat Aleurone by Men and Women. Nutrients, 8(2), pp. 96.

GILLESPIE, J., MCCLEAN, S., GARG, L., BARTON, M., SCOTNEY, B. and FULLERTON, K., 2016. A multi-phase DES modelling framework for patient-centred care. Journal of the Operational Research Society, 67(10), pp. 1239-1249.

STEER, K., GARG, L., LAYFIELD, C. and BORG, J., 2016. Assessment in e-Learning for Higher Education, The International Conference on Computers and Management (ICCM-2016), December 28-29, 2016 2016.

TOMASELLI, G., MELIA, M., GARG, L., GUPTA, V., XUEREB, P. and BUTTIGIEG, S., 2016. Digital and Traditional Tools for Communicating Corporate Social Responsibility: A Literature Review. International Journal of Business Data Communications and Networking (IJBDCN), 12(2), pp. 1-15.

VASSALLO, K. and GARG, L., 2016. Cross-platform development frameworks: overview of contemporary technologies and methods for cross-platform application development.

VASSALLO, K. and GARG, L., 2016. Cross-Platform Development Frameworks: Review of contemporary technologies and methods for cross-platform application development, The International Conference on Computers and Management (ICCM-2016), December 28-29, 2016 2016.

VASSALLO, K., GARG, L. and LAYFIELD, C., 2016. Mobile language learning: providing tools that allow the asynchronous, casual and sometimes gamified learning of languages on mobile devices.

ATTARD, N., GARG, L., CALLEJA, N. and ALEXANDRA, D., 2015. Phase type survival tree analysis for characterising the weather effects on the patient's Length of Stay, 37TH ANNUAL INTERNATIONAL CONFERENCE OF THEIEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY 2015.

ELSHORBAGY, S., GARG, L., GUPTA, V., NARAYANAMURTHY, G. and AL ORAINI, Y.A., 2015. The Impact of Information Systems on Management Performance in the Pharmaceutical Industry. Journal of Cases on Information Technology (JCIT), 17(3), pp. 56-73.

GARG, L., GUPTA, V., XUEREB, P., BUTTIGIEG, S. and VASSALLO, P., 2015. Traditional vs. interactive technologies for corporate social responsibility communication in health care: a study in Malta and India, 2015, EurOMA.

GARG, L., MULVANEY, A., GUPTA, V. and CALLEJA, N., 2015. Real-Time Hospital Bed Occupancy and Requirements Forecasting, 22nd EurOMA International Annual Conference (EurOMA 2015), June 26th- July 1st., At Neuch{\^a}tel, Switzerland 2015.

PAPADOPOULOU, A., MCCLEAN, S. and GARG, L., 2015. Discrete semi Markov patient pathways through hospital care via Markov modelling. Stochastic Modeling Data Analysis \& Statistical Applications, , pp. 65.

SCERRI, S., GARG, L., GARG, R., SCERRI, C., XUEREB, P. and TOMASELLI, G., 2015. Understanding Human-Device Interaction patterns within the context of mobile nutrition, 2015 2nd International Conference on Recent Advances in Engineering \& Computational Sciences (RAECS) 2015, IEEE, pp. 1-7.

SHANMUGAM, S. and GARG, L., 2015. Model Employee Appraisal System with Artificial Intelligence Capabilities. Journal of Cases on Information Technology (JCIT), 17(3), pp. 30-40.

TOMASELLI, G., GARG, L., GUPTA, V., XUEREB, P., BUTTIGIEG, S.C. and VASSALLO, P., 2015. Traditional vs. interactive technologies for Corporate Social Responsibility communication in health care: A study in Malta and India,  22nd EurOMA Conference: Operations Management for Sustainable Competitiveness, 2015.

GARG, L., DAUWELS, J., EARNEST, A. and LEONG, K.P., 2014. Tensor-Based Methods for Handling Missing Data in Quality-of-Life Questionnaires. Biomedical and Health Informatics, IEEE Journal of, 18(5), pp. 1571-1580.

GARG, L., MCCLEAN, S. and BARTON, M., 2014. Can Management Science methods do more to improve healthcare. International Journal of Inventions in Reasearch, Engineering Science and Technology, 1(1), pp. 8-18.

MCCLEAN, S., GARG, L. and FULLERTON, K., 2014. Costing Mixed Coxian Phase-type Systems with Poisson Arrivals. Communications in Statistics-Theory and Methods, 43(7), pp. 1437-1452.

MCCLEAN, S., GILLESPIE, J., GARG, L., BARTON, M., SCOTNEY, B. and KULLERTON, K., 2014. Using phase-type models to cost stroke patient care across health, social and community services. European Journal of Operational Research, 236(1), pp. 190-199.

ROUMIEH, A. and GARG, L., 2014. E-Marketing Strategies Exploiting Social Media for Islamic Banking. International Journal of Emerging Technology and Advanced Engineering, 4(2), pp. 1-9.

SCERRI, S., GARG, L., SCERRI, C. and GARG, R., 2014. Human-Computer Interaction Patterns within the Mobile Nutrition Landscape: A Review of Literature, Future Internet of Things and Cloud (FiCloud), 2014 International Conference on 2014, IEEE, pp. 437-441.

SCHIAVONE, S., GARG, L. and SUMMERS, K., 2014. Ontology of Information Security in Enterprises. Electronic Journal Information Systems Evaluation, 17(1),.

SCHIAVONE, S., GARG, L. and SUMMERS, K., 2014. Ontology of Information Security in Enterprises. The Electronic Journal Information Systems Evaluation, 7(1), pp. 071-087.

AGRAWAL, A., GARG, L. and DAUWELS, J.H., 2013. Application of empirical mode decomposition algorithm for epileptic seizure detection from scalp EEG. Transactions of Japanese Society for Medical and Biological Engineering, 51(Supplement), pp. R-207.

ASIF, M.T., MITROVIC, N., GARG, L., DAUWELS, J. and JAILLET, P., 2013. Low-dimensional models for missing data imputation in road networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013 2013, IEEE, pp. 3527-3531.

GARG, L., DAUWELS, J., EARNEST, A. and LEONG, K.P., 2013. Tensor-based methods for handling missing data in quality-of-life questionnaires. IEEE journal of biomedical and health informatics, 18(5), pp. 1571-1580.

GARG, L., MCCLEAN, S., BARTON, M., MEENAN, B. and FULLERTON, K., 2013. An Extended Mixture Distribution Survival Tree for Patient Pathway Prognostication. Communications in Statistics-Theory and Methods, 42(16), pp. 2912-2934.

MCCLEAN, S., GARG, L., GILLESPIE, J. and FULLERTON, K., 2013. Costing Mixed Coxian Phase-type Systems in a given time interval, Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on 2013, IEEE, pp. 369-372.

SCHIAVONE, S., GARG, L. and SUMMERS, K., 2013. Information Security in Enterprises-Ontology Perspective. International Conference on Information Management and Evaluation, , pp. 164.

BARTON, M., MCCLEAN, S., GILLESPIE, J., GARG, L., WILSON, D. and FULLERTON, K., 2012. Is it beneficial to increase the provision of thrombolysis?—a discrete-event simulation model. QJM, 105(7), pp. 665-673.

DAUWELS, J., GARG, L., EARNEST, A. and PANG, L.K., 2012. Tensor factorization for missing data imputation in medical questionnaires, Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on 2012, IEEE, pp. 2109-2112.

GARG, L., MASALA, G., MCCLEAN, S.I., MICOCCI, M. and CANNAS, G., 2012. Using phase type distributions for modelling HIV disease progression, Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on 2012, IEEE, pp. 1-4.

GARG, L., MCCLEAN, S.I., BARTON, M., MEENAN, B.J. and FULLERTON, K., 2012. Intelligent Patient Management and Resource Planning for Complex, Heterogeneous, and Stochastic Healthcare Systems. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 42(6), pp. 1332-1345.

PANG, L.K., GARG, L., DAUWELS, J. and EARNEST, A., 2012. Tensor factorization for missing data imputation in medical questionnaires.

PAPADOPOULOU, A.A., TSAKLIDIS, G., MCCLEAN, S. and GARG, L., 2012. On the Moments and the Distribution of the Cost of a Semi Markov Model for Healthcare Systems. Methodology and Computing in Applied Probability, 14(3), pp. 717-737.

DAUWELS, J., GARG, L., EARNEST, A. and PANG, L.K., 2011. Handling missing data in medical questionnaires using tensor decompositions, Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on 2011, IEEE, pp. 1-5.

GARG, G., PRASAD, G., GARG, L. and COYLE, D., 2011. Gaussian mixture models for brain activation detection from fmri data. International Journal of Bioelectromagnetism, 13(4), pp. 255-260.

GARG, L., MCCLEAN, S., MEENAN, B.J. and MILLARD, P., 2011. Phase-type survival trees and mixed distribution survival trees for clustering patients' hospital length of stay. Informatica, 22(1), pp. 57-72.

GILLESPIE, J., MCCLEAN, S., SCOTNEY, B., GARG, L., BARTON, M. and FULLERTON, K., 2011. Costing hospital resources for stroke patients using phase-type models. Health care management science, 14(3), pp. 279-291.

JAHANGIRIAN, M., ELDABI, T., GARG, L., JUN, G.T., NASEER, A., PATEL, B., STERGIOULAS, L. and YOUNG, T., 2011. A rapid review method for extremely large corpora of literature: Applications to the domains of modelling, simulation, and management. International Journal of Information Management, 31(3), pp. 234-243.

MCCLEAN, S., BARTON, M., GARG, L. and FULLERTON, K., 2011. A modeling framework that combines Markov models and discrete-event simulation for stroke patient care. ACM Transactions on Modeling and Computer Simulation (TOMACS), 21(4), pp. 25.

MCCLEAN, S., GARG, L., CHAURASIA, P., SCOTNEY, B. and NUGENT, C., 2011. Using model-based clustering to discretise duration information for activity recognition, Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on 2011, IEEE, pp. 1-7.

BARTON, M., MCCLEAN, S., GARG, L. and FULLERTON, K., 2010. Modelling costs of bed occupancy and delayed discharge of post-stroke patients, Health Care Management (WHCM), 2010 IEEE Workshop on 2010, IEEE, pp. 1-6.

GARG, L., MCCLEAN, S., BARTON, M., MEENAN, B. and FULLERTON, K., 2010. The extended mixture distribution survival tree based analysis for clustering and patient pathway prognostication in a stroke care unit.

GARG, L., MCCLEAN, S., BARTON, M., MEENAN, B. and FULLERTON, K., 2010. An extended phase type survival tree for patient pathway prognostication, Health Care Management (WHCM), 2010 IEEE Workshop on 2010, IEEE, pp. 1-6.

GARG, L., MCCLEAN, S., BARTON, M., MEENAN, B. and FULLERTON, K., 2010. Forecasting hospital bed requirements and cost of care using phase type survival trees, Intelligent Systems (IS), 2010 5th IEEE International Conference 2010, IEEE, pp. 185-190.

GARG, L., MCCLEAN, S., MEENAN, B. and MILLARD, P., 2010. A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system. Health care management science, 13(2), pp. 155-169.

MCCLEAN, SALLY AND GARG, LALIT AND BLACK, MICHAELA AND MCNEILL, MICHAEL AND MCKINNEY, MARTIN AND MCMULLAN, ANNE AND HICKEY, RAY AND MARSHALL, PAULEEN AND MOORE, ADRIAN AND MORROW, PHILIP AND OTHERS, CASI 2010 Organisation.

MCCLEAN, S., GARG, L., BARTON, M. and FULLERTON, K., 2010. Using mixed phase-type distributions to model patient pathways, Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on 2010, IEEE, pp. 172-177.

WILSON, D., BARTON, M., MCCLEAN, S., GARG, L. and FULLERTON, K., 2010. Thrombolysis at the expense of community rehabilitation? a simulation model. International Journal of Stroke, 5, pp. 51.

BARTON, M., MCCLEAN, S., GARG, L. and FULLERTON, K., 2009. Modelling stroke patient pathways using survival analysis and simulation modelling. Proceeding of the XIII International Conference on Applied Stochastic Models and Data Analysis, ASMDA, Vilnius, Lithuania, , pp. 370-373.

CLARKSON, JOHN AND SLOTE MORRIS, ZOE AND JUN, GYUCHAN THOMAS AND ELDABI, TILLAL AND JAHANGIRIAN, MOHSEN AND NASEER, AISHA AND STERGIOULAS, LAMPROS AND TAYLOR, PETER AND XUE, MAGGY AND YOUNG, TERRY AND OTHERS, 2009. Modelling and simulation techniques for supporting healthcare decision making: a selection framework. University of Cambridge. Engineering Design Centre.

GARG, L., MCCLEAN, S., MEENAN, B., EL-DARZI, E. and MILLARD, P., 2009. Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems, 2009.CBMS 2009., , pp. 1-7.

GARG, L., MCCLEAN, S., MEENAN, B. and MILLARD, P., 2009. Non-homogeneous Markov models for sequential pattern mining of healthcare data. IMA Journal of Management Mathematics, 20(4), pp. 327-344.

GARG, L., MCCLEAN, S., MEENAN, B. and MILLARD, P., 2009. A phase type survival tree model for clustering patients’ hospital length of stay'. ASMDA conference proceedings, .

JAMES, ANDREW AND BARTON, MARIA AND BELAIDI, AISSAM AND BESOMBES, B\'EATRIX AND BISWAS, JIT AND BUSBY, WENDY AND CATLEY, CHRISTINA AND CHAABANE, SONDES AND CHABROL, MICHELLE AND CHAUSSALET, THIERRY J AND OTHERS, 2009. Hallberg, Josef 297 Hansen, David 71 Harrison, Gary W. 185 Hong, Xin 279, 315. Intelligent Patient Management, 189, pp. 333.

MCCLEAN, S., GARG, L., BARTON, M., FULLERTON, K. and MILLARD, P., 2009. Using Markov Systems to Plan Stroke Services. Intelligent Patient Management. Springer, pp. 241-256.

GARG, L., MCCLEAN, S. and BARTON, M., 2008. Is management science doing enough to improve healthcare. Proc World Acad Sci Eng Technol, 30, pp. 76-80.

GARG, L., MCCLEAN, S., MEENAN, B. and MILLARD, P., 2008. Optimal control of patient admissions to satisfy resource restrictions, Computer-Based Medical Systems, 2008. CBMS'08. 21st IEEE International Symposium on 2008, IEEE, pp. 512-517.

MCCLEAN, S., MILLARD, P. and GARG, L., 2008. Using Markov Models for Decision Support in Management of High Occupancy Hospital Care. Intelligent Techniques and Tools for Novel System Architectures. Springer, pp. 187-199.

MCCLEAN, S., GARG, L., MEENAN, B. and MILLARD, P., 2007. Using Markov models to find interesting patient pathways, Computer-Based Medical Systems, 2007. CBMS'07. Twentieth IEEE International Symposium on 2007, IEEE, pp. 713-718.

MCCLEAN, S., GARG, L., MEENAN, B. and MILLARD, P., 2007. Non-homogeneous Markov models for performance monitoring in healthcare. Recent Advances in Stochastic Modelling and Data Analysis, , pp. 146-153.

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